Entropy: Entropy is used in the field of machine learning to measure the amount of uncertainty or randomness in a set of data and its usefulness in the decision-making process. In other words, entropy measures the impurity in a dataset. The higher the entropy value, the more impure the data.
Linear regression is an elementary but important topic in machine learning. Many real life problems have been efficiently modeled using linear regression. Before knowing about the details of linear regression, we need to understand regression first. By regression, we mean to estimate the value of a dependent variable (output) from
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